Ai engineer állások, munkák it programozás, fejlesztés területen

Nagy nyelvi modellekre (LLM) épülő, RAG (Retrieval-Augmented Generation) és agentic alapú rendszerek aktív fejlesztése, a koncepciótól a működő prototípusig. ...

• Model Development: Design, train, and fine-tune machine learning models using large-scale datasets to solve complex problems.
• Data Management: Collect, clean, and preprocess data to ensure high-quality inputs for AI systems and model training.

• A generatív mesterséges intelligencia, különösen a RAG (Retrieval-Augmented Generation) és Ágens alapú AI rendszerek területén uralkodó trendek folyamatos követése; 
• Közreműködés nagy nyelvi modellek (LLM) alapú rendszerek fejlesztésében, innovatív megoldások kidolgozásában;

• Aktív szerepet vállal a projekt-előkészítési és értékesítés-támogatási (presales) feladatokban
• Részt vesz az ügyfelek ETL/ELT folyamatainak, adattárházának, adatbázisainak feltérképezésében 
• Közreműködik egy ügyfél oldali adatplatform alapjainak megtervezésében, felépítésében és fejlesztésében

• Design and develop APIs and backend services using MuleSoft Anypoint Platform and Java.
• Build scalable, secure microservices and integration solutions.
• Collaborate with product managers, designers, and QA engineers to deliver high-quality features.

• Design and implement cloud-based data solutions utilizing GCP services,
• Lead the development of data pipelines and distributed frameworks that ensure scalability, optimal performance, and long-term reliability,

• Learn and use groundbreaking technologies.
• Engineers will apply advanced troubleshooting techniques to provide unique solutions for our customers and lead customer interactions by thoughtfully working with them to dive deep into the issue and get the root cause.

• collaborate on the design and development of ML-based applications and its backend components;
• help to select the most applicable solutions for a business problem;
• write clean, efficient, and well-documented code;
• contribute to our MLOps processes;

A csapat fókusza a Graphisoft AI-assisted termékeinek (AI Assistant, AI Visualizer) fejlesztése. A 6-8 fős csapat tesztmérnök tagjaként a főbb feladataid: •Manuális tesztelés (prompt generálás, tesztesetek meghatározása, az eredmények minőségi metrikák alapján történő kiértékelése) •Automata...

• Develop new features (e.g. integrations with other apps, new internal & public API endpoints)
• Enable our application to discover interesting trends and statistics in our data
• Infuse AI into every part of our app (it's already in a lot of places ofc)
• Improve our agent and chatbot

Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels) Translate computational graphs from ML frameworks onto the underlying hardware Contribute...

Developing scalable library software using modern tools and languages for various numerical method. Performance tuning, optimization, and benchmarking of algorithms on various architectures. Working closely with leadership team and other internal and external partners to understand feature and...

Design, implement, and build data and AI solutions adding business value (Service Efficiency, Sales) – linking strongly to IOT data and other proprietary data sources...

• You will take technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• Furthermore, you will independently identify, evaluate, and manage AI-related projects.

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

You build, validate, and analyse finite element models (FEA/FEM) for structural, crash, noise, vibration, roughness, and aerodynamic simulations....

You build, validate, and analyze finite element models (FEA/FEM) for structural, crash, noise, vibration, harshness, and aerodynamic simulations....